Summary
Harsh Kothari is a software developer in Seattle with nine years of experience building reliable, data-driven systems at scale. At Amazon he architected a high-throughput financial reconciliation pipeline (Java, Lambda, DynamoDB, SQS) that achieved 99.99% availability and cut processing time by 40%, while also automating CI/CD with AWS CDK/CloudFormation to shorten deployments from hours to minutes. His background spans data engineering and analytics—designing ETL pipelines, automated crawlers, and BI dashboards—that inform product and investment decisions. He mentors peers, drives operational readiness through monitoring and runbooks, and has a research-minded edge from MS work on reinforcement learning effects in query processing. Pragmatic about messy inputs (as his GitHub motto suggests), he combines rigorous engineering with an appetite for turning imperfect data into actionable systems.
9 years of coding experience
Bachelor of Engineering - BE, Information Technology, 8.45 / 10, Bachelor of Engineering - BE, Information Technology, 8.45 / 10 at Thakur College of Engineering & Technology
Master of Science - MS, Computer Science, 3.67/4.0, Master of Science - MS, Computer Science, 3.67/4.0 at Oregon State University